Presentation | 2015-03-16 Further Speeding Up and Solution Quality Improvement of Singularity Stairs Following Seiya SATOH, Ryohei NAKANO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In a search space of a multilayer perceptron (MLP), there exists singular regions where any point is I-O equivalent to the optimal solution of an MLP having one less hidden units. Singularity Stairs Following (SSF) utilizes singular regions as initial points for search and systematically finds excellent solutions increasing the number of hidden units one by one. Since the number of search routes in SSF rapidly increases as the number of hidden units gets larger, search pruning has been proposed to deal with the problem. In this paper, we try to make SSF even faster by limiting the number of search routes without deteriorating solution quality. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | multilayer perceptron / learning method / singular region / reducibility mapping / search pruning |
Paper # | MBE2014-168,NC2014-119 |
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Committee | NC |
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Conference Date | 2015/3/9(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Further Speeding Up and Solution Quality Improvement of Singularity Stairs Following |
Sub Title (in English) | |
Keyword(1) | multilayer perceptron |
Keyword(2) | learning method |
Keyword(3) | singular region |
Keyword(4) | reducibility mapping |
Keyword(5) | search pruning |
1st Author's Name | Seiya SATOH |
1st Author's Affiliation | Chubu University() |
2nd Author's Name | Ryohei NAKANO |
2nd Author's Affiliation | Chubu University |
Date | 2015-03-16 |
Paper # | MBE2014-168,NC2014-119 |
Volume (vol) | vol.114 |
Number (no) | 515 |
Page | pp.pp.- |
#Pages | 6 |
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